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Teradata MCP Server

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by Teradata

dba_tableUsageImpact

Read-onlyIdempotent

Identify which users and tables generate the most query and resource load in a specified Teradata database.

Instructions

Identify which users and tables are driving the most query and resource activity within a specific Teradata database. Use when the user asks who is hitting a named database hardest, which users are most active, or which tables generate the most load. ONLY call when the user has specified a database name — if no database name appears in the message, ask for clarification. For system-wide CPU, IO, and memory metrics by time period or application, use dba_resusageSummary instead.

Arguments: database_name - Database name to analyze. Required — do not pass empty string. user_name - User name to analyze. Leave empty for all users. persist - If True, materializes result as a volatile table and returns table name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
persistNoIf True, materializes result as a volatile table and returns table name
user_nameNoUser name to analyze. Leave empty for all users.
database_nameYesDatabase name to analyze. Required — do not pass empty string.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and idempotentHint=true. Description adds that persist=True materializes as volatile table and returns table name. No contradictions present.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is front-loaded with purpose and usage guidelines but then repeats parameter descriptions already present in the schema. Could be more concise by omitting the parameter list.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema. Description only hints at return value for persist=True. For default (persist=False), it does not explain what the tool returns. Missing details on result format or any limits.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with each parameter having a description. The description repeats the same information for each parameter, adding no new meaning beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

First sentence clearly states the tool's purpose: 'Identify which users and tables are driving the most query and resource activity within a specific Teradata database.' This distinguishes it from sibling tools like dba_resusageSummary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly specifies when to use: 'Use when the user asks who is hitting a named database hardest' and when not to, with a direct alternative: 'For system-wide CPU, IO, and memory metrics... use dba_resusageSummary instead.' Also requires database name and advises to ask for clarification if missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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